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Xenova/grok-1-tokenizer
grok-1-tokenizer is a machine learning model from Xenova. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
A 🤗-compatible version of the Grok-1 tokenizer (adapted from xai-org/grok-1). This means it can be used with Hugging Face libraries including Transformers, Tokenizers, and Transformers.js.
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Updated Apr 30, 2024
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From the Hugging Face model README
A 🤗-compatible version of the Grok-1 tokenizer (adapted from xai-org/grok-1). This means it can be used with Hugging Face libraries including Transformers, Tokenizers, and Transformers.js.
from transformers import LlamaTokenizerFast
tokenizer = LlamaTokenizerFast.from_pretrained('Xenova/grok-1-tokenizer')
assert tokenizer.encode('hello world') == [21560, 1135]
import { AutoTokenizer } from '@xenova/transformers';
const tokenizer = await AutoTokenizer.from_pretrained('Xenova/grok-1-tokenizer');
const tokens = tokenizer.encode('hello world'); // [21560, 1135]